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FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation

FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation

28 September 2022
Sebastian Hofstatter
Jiecao Chen
K. Raman
Hamed Zamani
    RALM
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Papers citing "FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation"

11 / 61 papers shown
Title
A Symmetric Dual Encoding Dense Retrieval Framework for
  Knowledge-Intensive Visual Question Answering
A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering
Alireza Salemi
Juan Altmayer Pizzorno
Hamed Zamani
11
14
0
26 Apr 2023
Pre-computed memory or on-the-fly encoding? A hybrid approach to
  retrieval augmentation makes the most of your compute
Pre-computed memory or on-the-fly encoding? A hybrid approach to retrieval augmentation makes the most of your compute
Michiel de Jong
Yury Zemlyanskiy
Nicholas FitzGerald
Joshua Ainslie
Sumit Sanghai
Fei Sha
William W. Cohen
RALM
20
16
0
25 Jan 2023
Demonstrate-Search-Predict: Composing retrieval and language models for
  knowledge-intensive NLP
Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP
Omar Khattab
Keshav Santhanam
Xiang Lisa Li
David Leo Wright Hall
Percy Liang
Christopher Potts
Matei A. Zaharia
RALM
KELM
20
244
0
28 Dec 2022
FiDO: Fusion-in-Decoder optimized for stronger performance and faster
  inference
FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Michiel de Jong
Yury Zemlyanskiy
Joshua Ainslie
Nicholas FitzGerald
Sumit Sanghai
Fei Sha
William W. Cohen
VLM
21
32
0
15 Dec 2022
QUILL: Query Intent with Large Language Models using Retrieval
  Augmentation and Multi-stage Distillation
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation
Krishna Srinivasan
K. Raman
Anupam Samanta
Ling-Yen Liao
L. Bertelli
Michael Bendersky
RALM
LRM
17
20
0
27 Oct 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
221
321
0
21 Sep 2022
Hindsight: Posterior-guided training of retrievers for improved
  open-ended generation
Hindsight: Posterior-guided training of retrievers for improved open-ended generation
Ashwin Paranjape
Omar Khattab
Christopher Potts
Matei A. Zaharia
Christopher D. Manning
RALM
67
43
0
14 Oct 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information
  Retrieval Models
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur
Nils Reimers
Andreas Rucklé
Abhishek Srivastava
Iryna Gurevych
VLM
229
961
0
17 Apr 2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained
  Sequence-to-Sequence Models
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
Ronak Pradeep
Rodrigo Nogueira
Jimmy J. Lin
MoE
57
164
0
14 Jan 2021
Multi-task Retrieval for Knowledge-Intensive Tasks
Multi-task Retrieval for Knowledge-Intensive Tasks
Jean Maillard
Vladimir Karpukhin
Fabio Petroni
Wen-tau Yih
Barlas Oğuz
Veselin Stoyanov
Gargi Ghosh
204
64
0
01 Jan 2021
Pretrained Transformers for Text Ranking: BERT and Beyond
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy J. Lin
Rodrigo Nogueira
Andrew Yates
VLM
214
607
0
13 Oct 2020
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